One of the most emerging areas of audit knowledge is sustainable quality, which can comprehensively cover the development of audit reports inclusiveness for stakeholders. The purpose of this study is to present the sustainable audit quality (SAQ) framework based on the UK Financial Reporting Council.
The paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes.
The results of the study showed that the SAQ is more effective based on the two criteria of going concern and disclosure of key audit items. It was also determined that, based on total interpretive structural modeling, the two themes of debt covenants disclosure and assessment of firms’ leverage ratio have a higher priority for SAQ in the Tehran Stock Exchange.
This paper contributes to the discussion on the use of data mining for microarray databases and specifically for studying the present SAQ framework based on the UK Financial Reporting Council. An area that has not been paid attention to by prior research studies, and to the best of the authors’ knowledge, this study is the first research that attempts to provide the SAQ framework.
